Claude Mythos 5.1 vs Bonsai Image Binary 4B
At a Glance
| Compare | Claude Mythos 5.1Anthropic |  Bonsai Image Binary 4BPrismML |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $10.00Anthropic ↗ · Sep 2, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $50.00Anthropic ↗ · Sep 2, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,000K | Not reported |
| Model facts checked | Sep 2, 2026View model evidence → | Sep 18, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Claude Mythos 5.1 | Bonsai Image Binary 4B |
|---|---|---|
| Developer | Anthropic | PrismML |
| Family | Claude 5 1 | Bonsai Image 4b |
| Model | Claude Mythos 5.1 | Bonsai Image Binary 4B |
| Version | Claude Mythos 5.1 | Bonsai Image Binary 4B |
| Lifecycle | active | active |
| Released | 2026-09-01 | 2026-05-18 |
| Knowledge cutoff | 2026-06-01 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Image |
| Context window | 1,000K | Unknown |
| Total parameters | Unknown | 4B |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | No |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Project Glasswing) | Unknown |
| Capabilities | chat, generation, reasoning, tools | generation |
| Base model | Unknown | FLUX.2 Klein 4B |
| Default resolution | Unknown | 512 × 512 |
| Transformer size | Unknown | 0.93 GB |
| Weight format | Unknown | Binary weights with FP16 group scales |
Claude Mythos 5.1 Capabilities
Bonsai Image Binary 4B Capabilities
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Primary Evidence
Sources and Freshness
Questions
Claude Mythos 5.1 vs Bonsai Image Binary 4B FAQs
Is Claude Mythos 5.1 or Bonsai Image Binary 4B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Mythos 5.1 and Bonsai Image Binary 4B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Mythos 5.1 or Bonsai Image Binary 4B?+
Only Claude Mythos 5.1 has a directly sourced input price: $10.00 per million tokens. Only Claude Mythos 5.1 has a directly sourced output price: $50.00 per million tokens.
Which has a larger context window, Claude Mythos 5.1 or Bonsai Image Binary 4B?+
Neither model has a larger sourced context window in this comparison. Claude Mythos 5.1 is 1,000K and Bonsai Image Binary 4B is —.
Which performs better in benchmarks, Claude Mythos 5.1 or Bonsai Image Binary 4B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Mythos 5.1 or Bonsai Image Binary 4B be self-hosted?+
Bonsai Image Binary 4B is the only model in this pair currently marked as self-hostable. Claude Mythos 5.1 is not marked open weight; Bonsai Image Binary 4B is open weight.
Can Claude Mythos 5.1 and Bonsai Image Binary 4B understand images?+
Claude Mythos 5.1 is documented with image input; Bonsai Image Binary 4B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Mythos 5.1 or Bonsai Image Binary 4B?+
Neither has a larger sourced maximum output. Claude Mythos 5.1 is 128K and Bonsai Image Binary 4B is —.
Do Claude Mythos 5.1 and Bonsai Image Binary 4B support reasoning and tool use?+
Claude Mythos 5.1: reasoning, tool calling, and image input. Bonsai Image Binary 4B: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Mythos 5.1 or Bonsai Image Binary 4B?+
Claude Mythos 5.1 has 1 sourced provider route; Bonsai Image Binary 4B has 0, so Claude Mythos 5.1 has broader tracked availability.
Which offers better value, Claude Mythos 5.1 or Bonsai Image Binary 4B?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.